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Description

COURSE OBJECTIVES

Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning detects patterns in data and adjust program actions accordingly. Machine learning is based on a number of learning algorithms like regression, classification, gbm, neural networks, random forest and recommendation etc. Why learn Machine Learning Machine Learning is being used by almost all the tech giants and corporates to enable their business and drive revenues. It is one of the hot jobs in Year 2017 and the same can be seen in www.indeed.com Job Trends. This is a critical dimension to become a Data Scientist.

COURSE CONTENT

This is a hands-on course where you get learn ML algorithms and apply them on dataset provided. We will also cover a couple of Projects during this training.Module 1 Classify the types of learning including supervised and unsupervised. Module 2 Identify the various applications of machine learning algorithms. Module 3- Perform supervised learning techniques: linear and logistic regression and use case study. Module 4 Understand classification data and models. Module 5 Use unsupervised learning algorithms : Neural networks, Clustering, and Recommendation systems. Module 6 Use machine learning with Spark.